No. 554Problem statementHealth and wellbeingDevelopment of Artificial Intelligence Based Comprehensive Device for Detection of Cognitive Disturbances
The challenge asks for a portable hardware and software system that continuously assesses cognitive function using physiological signals and AI-assisted analysis, providing real-time alerts and insights to individuals and medical personnel. It must remain accurate amid motion, vibration, confined spaces, humidity and temperature extremes, account for individual variation and artefacts, be comfortable for prolonged use, and integrate with existing health systems. The source explicitly requires encryption, informed consent, clinical trials, user feedback and medical-device and military regulatory approval; the proposed signals are not yet established as validated cognitive measures.
No. 555Problem statementHealth and wellbeingDevelopment of Feedback loop extravasation detection and alarm system
The challenge asks for a low-cost, automated system that continuously detects intravenous infiltration or extravasation at the cannula site and closes a feedback loop with existing infusion pumps. Local, skin-compatible sensors may measure tissue dimensions, pressure or physical changes, but the design must work across cannula sizes and age groups, including neonates, children and older adults, while handling movement artefacts and signal drift. It should fit current dressings, provide early objective warnings, use an open platform compatible with different pump makes, and minimise caregiver subjectivity.
No. 559Problem statementHealth and wellbeingDevelopment of ultrasound chip based non-invasive urodynamic monitoring system
The challenge asks for an inexpensive, wearable ultrasound chip on the lower abdomen that continuously images and records bladder dimensions, volume, wall and motion characteristics before, during and after voiding, and estimates pressure and compliance. It is intended as a non-invasive alternative or triage aid where catheter-based urodynamics is burdensome, especially for children and people with intellectual, autistic or neurological conditions. The device must be skin-compatible and usable during daily life, produce reproducible disease markers, store data for later analysis, and may support future machine-learning and closed-loop interventions; pressure estimates and clinical substitution remain to be validated.